Task
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 34539 Supervised Classification Amazon_employee_access 22125 runs submitted
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  • OpenML100 study_123 study_14 study_218
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.9303, kappa: 0.241, kb_relative_information_score: -11050.9208, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.93, predictive_accuracy: 0.945, prior_entropy: 0.3191, recall: 0.945, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.9317, kappa: 0.2581, kb_relative_information_score: -9488.4898, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9319, predictive_accuracy: 0.9459, prior_entropy: 0.3191, recall: 0.9459, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.9262, kappa: 0.1851, kb_relative_information_score: -12432.403, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.8983, kappa: 0.2676, kb_relative_information_score: -35109.38, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9252, predictive_accuracy: 0.8789, prior_entropy: 0.3191, recall: 0.8789, relative_absolute_error: 1.2309, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.3105, root_relative_squared_error: 1.3295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.9185, kappa: 0.0644, kb_relative_information_score: -14877.3527, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9252, predictive_accuracy: 0.9429, prior_entropy: 0.3191, recall: 0.9429, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8881, kappa: 0.3031, kb_relative_information_score: -44007.388, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9365, predictive_accuracy: 0.8584, prior_entropy: 0.3191, recall: 0.8584, relative_absolute_error: 1.3908, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.3415, root_relative_squared_error: 1.4622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, kb_relative_information_score: 7815.2172, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, kb_relative_information_score: 7815.2172, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8821, kappa: 0.2913, kb_relative_information_score: -50017.2353, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9366, predictive_accuracy: 0.8491, prior_entropy: 0.3191, recall: 0.8491, relative_absolute_error: 1.4894, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kb_relative_information_score: 7815.2172, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, kb_relative_information_score: 7815.2172, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.922, kappa: 0.3479, kb_relative_information_score: -11177.7003, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9301, predictive_accuracy: 0.9154, prior_entropy: 0.3191, recall: 0.9154, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2659, root_relative_squared_error: 1.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.922, kappa: 0.1251, kb_relative_information_score: 6430.1898, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9207, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2341, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, kb_relative_information_score: 7815.2176, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, kb_relative_information_score: 7815.2172, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.9203, kappa: 0.248, kb_relative_information_score: -7119.6122, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9181, predictive_accuracy: 0.9226, prior_entropy: 0.3191, recall: 0.9226, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2527, root_relative_squared_error: 1.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, kb_relative_information_score: 7815.2172, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, kb_relative_information_score: 7815.2172, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, kb_relative_information_score: 7815.2172, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.9226, kappa: 0.124, kb_relative_information_score: -11297.8031, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9281, predictive_accuracy: 0.944, prior_entropy: 0.3191, recall: 0.944, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -7360.7096, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2336, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, kb_relative_information_score: 7815.2184, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.9374, kappa: 0.3325, kb_relative_information_score: -6571.9054, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9378, predictive_accuracy: 0.9487, prior_entropy: 0.3191, recall: 0.9487, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.8617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.9292, kappa: 0.2225, kb_relative_information_score: -10961.7087, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9303, predictive_accuracy: 0.9452, prior_entropy: 0.3191, recall: 0.9452, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.9202, kappa: 0.0873, kb_relative_information_score: -12755.171, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9283, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.9149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.9207, kappa: 0.3494, kb_relative_information_score: -13356.4124, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9308, predictive_accuracy: 0.9128, prior_entropy: 0.3191, recall: 0.9128, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2694, root_relative_squared_error: 1.1537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.8682, kappa: 0.2624, kb_relative_information_score: -65232.6328, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9358, predictive_accuracy: 0.828, prior_entropy: 0.3191, recall: 0.828, relative_absolute_error: 1.7389, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.3745, root_relative_squared_error: 1.6035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, kb_relative_information_score: 7815.2172, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.9251, kappa: 0.1567, kb_relative_information_score: -10490.7718, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9317, predictive_accuracy: 0.945, prior_entropy: 0.3191, recall: 0.945, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8775, kappa: 0.2832, kb_relative_information_score: -54604.0019, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9368, predictive_accuracy: 0.8419, prior_entropy: 0.3191, recall: 0.8419, relative_absolute_error: 1.5656, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.3596, root_relative_squared_error: 1.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, kb_relative_information_score: 7815.2172, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, kb_relative_information_score: 7815.2172, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.9382, kappa: 0.3491, kb_relative_information_score: -5812.5344, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9373, predictive_accuracy: 0.9483, prior_entropy: 0.3191, recall: 0.9483, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.9198, kappa: 0.0853, kb_relative_information_score: -14166.1828, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9235, predictive_accuracy: 0.9429, prior_entropy: 0.3191, recall: 0.9429, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.9161, kappa: 0.313, kb_relative_information_score: -18187.4441, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9267, predictive_accuracy: 0.9076, prior_entropy: 0.3191, recall: 0.9076, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2751, root_relative_squared_error: 1.1779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, kb_relative_information_score: -59917.8268, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.3177, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2386, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.9254, kappa: 0.1609, kb_relative_information_score: -8657.6757, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9314, predictive_accuracy: 0.945, prior_entropy: 0.3191, recall: 0.945, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, kb_relative_information_score: 7815.2691, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.9221, kappa: 0.1755, kb_relative_information_score: 589.6108, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9147, predictive_accuracy: 0.9353, prior_entropy: 0.3191, recall: 0.9353, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2402, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, kb_relative_information_score: 7815.2172, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.9232, kappa: 0.1523, kb_relative_information_score: 5060.2662, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9194, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.5677, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2348, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.9161, kappa: 0.3366, kb_relative_information_score: -19322.4695, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9304, predictive_accuracy: 0.9053, prior_entropy: 0.3191, recall: 0.9053, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2793, root_relative_squared_error: 1.1958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.9165, kappa: 0.3042, kb_relative_information_score: -16990.4534, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9253, predictive_accuracy: 0.9093, prior_entropy: 0.3191, recall: 0.9093, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2725, root_relative_squared_error: 1.1667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.9421, kappa: 0.3947, kb_relative_information_score: -4928.5162, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9417, predictive_accuracy: 0.9509, prior_entropy: 0.3191, recall: 0.9509, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.9428, kappa: 0.4102, kb_relative_information_score: -4264.3641, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9415, predictive_accuracy: 0.9506, prior_entropy: 0.3191, recall: 0.9506, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.197, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.9235, kappa: 0.1416, kb_relative_information_score: -12757.4563, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9253, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.9161,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, kb_relative_information_score: -159.0313, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, kb_relative_information_score: -159.0313, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.9232, kappa: 0.1347, kb_relative_information_score: -10892.7413, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.9437, prior_entropy: 0.3191, recall: 0.9437, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.9195, kappa: 0.3506, kb_relative_information_score: -15452.9928, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9314, predictive_accuracy: 0.9105, prior_entropy: 0.3191, recall: 0.9105, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.273, root_relative_squared_error: 1.1691,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs